Evidence vs Metabase

Evidence is an open-source business intelligence framework built around the idea of BI as code. Analysts write reports as Markdown files with embedded SQL queries and ready-made components for charts, tables and big numbers, and Evidence builds them into a fast static website. The project is MIT licensed and backed by a venture-funded company that also runs a hosted service.

Evidence connects to common warehouses and databases including Snowflake, BigQuery, Databricks, Redshift, Postgres, MySQL and DuckDB, as well as CSV files. Query results are cached and processed in the browser with DuckDB, so pages stay quick once built. Templated pages generate one report per customer, region or product from a single file, loops and conditionals add logic, and everything lives in git, so changes go through pull requests and code review. The open-source framework is free to self-host; Evidence Cloud adds managed builds, hosting, scheduled refreshes and authentication.

Evidence fits data teams that already think in SQL and git and want polished, reproducible reports such as board packs, KPI sites or customer-facing data pages. It is not a self-serve tool for business users who want to drag fields onto a chart. Metabase and Looker Studio are better for ad hoc exploration, Lightdash builds BI directly on dbt models, and Observable Framework is the closest alternative for code-first data apps with more JavaScript flexibility.

Metabase is the most widely used open-source business intelligence tool, built by a San Francisco-based company founded in 2015. Its core job is to let everyone in a company ask questions of data: non-technical users build queries with a point-and-click builder, analysts write SQL, and teams share the results as dashboards, alerts and scheduled reports.

Metabase connects to Postgres, MySQL, SQL Server, BigQuery, Snowflake, Redshift, Databricks and many other databases. Dashboards support filters, drill-through and cross-filtering, and subscriptions deliver them by email or Slack. Models, metrics and segments create a light semantic layer for governed self-service. Embedding ranges from public links and static embeds to an interactive embedding SDK for React, which lets SaaS products offer customer-facing analytics. The open-source edition is free to self-host under the AGPL license; Metabase Cloud (Starter) adds hosting and upgrades, while Pro and Enterprise add SSO, row and column-level permissions, white labeling, advanced embedding and support. Metabot brings natural language questions into the product.

Metabase fits startups and mid-size companies that want useful dashboards quickly and cheaply, and developers embedding analytics. Visualizations are simpler than Tableau or Power BI, query speed depends on your database, and modeling is lighter than Looker or Lightdash. Apache Superset is the other popular open-source option, with more chart types but a steeper learning curve.